Instructions to use GraydientPlatformAPI/cashani with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cashani with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/cashani", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7f8a2cf3631d0d5e81eb419b8cdbe6a2746957f8f2d7fcab98fc4fd55a36886f
- Size of remote file:
- 1.39 GB
- SHA256:
- 670ba69385791363df4e82336907abec9c3f0c78af0fb347b12dd3e7c96cdd6b
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